ServiceNow has announced AI Workflow Factory and Autonomous Engineer solutions designed to discover where AI can improve work and provide one unified way to build, run, and extend AI workflows across the enterprise. The products aim to address execution gaps caused by fragmented, legacy infrastructure. AI Workflow Factory creates a continuous improvement loop that connects process mining to identify which business processes should change against business KPIs, Autonomous Engineer and Build Agent to help teams build workflow improvements and control quality, and App Engine to run the improved workflows at scale. People set direction and approve outcomes while AI moves more of the work forward, governed by the ServiceNow AI Control Tower. Through Action Fabric, the same governed loop can extend to third-party AI agents and tools. The announcement was made in India at World Forum Mumbai, with partners such as Accenture and Infosys highlighting adoption.
ServiceNow has announced AI Workflow Factory and Autonomous Engineer solutions designed to discover where AI can improve work and provide one unified way to build, run, and extend AI workflows across the enterprise. The products aim to address execution gaps caused by fragmented, legacy infrastructure. AI Workflow Factory creates a continuous improvement loop that connects process mining to identify which business processes should change against business KPIs, Autonomous Engineer and Build Agent to help teams build workflow improvements and control quality, and App Engine to run the improved workflows at scale. People set direction and approve outcomes while AI moves more of the work forward, governed by the ServiceNow AI Control Tower. Through Action Fabric, the same governed loop can extend to third-party AI agents and tools. The announcement was made in India at World Forum Mumbai, with partners such as Accenture and Infosys highlighting adoption.